Efficient Processing of Distance Queries in Large Graphs: A Vertex Cover Approach
Summary: Disk-based, tree-structured index for single-source distance queries in massive graphs, leveraging vertex-cover partitioning to enable I/O-efficient query processing. I/O-efficient construction algorithm with explicit CPU/I/O bounds; validated on real-world large graphs, showing scalable performance. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. James Cheng
- 2. Yiping Ke
- 3. Shumo Chu
- 4. Carter Cheng
Incoming Citations (Sorted by Pagerank)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 376 | TEDI: Efficient Shortest Path Query Answering on Graphs | 2010 | SIGMOD | 0.00025097452 |
| 686 | Finding Maximal Cliques in Massive Networks by H*-graph | 2010 | SIGMOD | 0.00018178029 |
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